Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data

Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data

The identification of biomarker signatures in omics molecular profiling is usually performed to predict outcomes in a precision medicine context, such as patient disease susceptibility, diagnosis, prognosis, and treatment response. To identify these signatures, we have developed a biomarker discover...

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Bibliographic Details
Main Authors: Mickael Leclercq, Benjamin Vittrant, Marie Laure Martin-Magniette, Marie Pier Scott Boyer, Olivier Perin, Alain Bergeron, Yves Fradet, Arnaud Droit
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Genetics
Subjects:
machine learning
omics
biomarkers signature
feature selection
precision medicine
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00452/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00452/full

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